Likwid is a simple to install and use toolsuite of command line applications for performance oriented programmers. It works for Intel and AMD processors on the Linux operating system.
It consists of:
- likwid-topology: print thread, cache and NUMA topology
- likwid-perfctr: configure and read out hardware performance counters on Intel and AMD processors
- likwid-powermeter: read out RAPL Energy information and get info about Turbo mode steps
- likwid-pin: pin your threaded application (pthread, Intel and gcc OpenMP to dedicated processors)
- likwid-bench: Micro benchmarking platform
- likwid-features: Print and manipulate cpu features like hardware prefetchers
- likwid-genTopoCfg: Dumps topology information to a file
- likwid-mpirun: Wrapper to start MPI and Hybrid MPI/OpenMP applications (Supports Intel MPI, OpenMPI and MPICH)
- likwid-perfscope: Frontend to the timeline mode of likwid-perfctr, plots live graphs of performance metrics using gnuplot
- likwid-agent: Monitoring agent for hardware performance counters
- likwid-memsweeper: Sweep memory of NUMA domains and evict cachelines from the last level cache
- likwid-setFrequencies: Tool to control the CPU frequency
You can get the releases of LIKWID at: http://ftp.fau.de/pub/likwid/
For build and installation hints see INSTALL file or check the build instructions page in the wiki https://github.com/RRZE-HPC/likwid/wiki/Build
For a detailed documentation on the usage of the tools have a look at the html documentation build with doxygen. Call
make docs
or after installation, look at the man pages.
There is also a wiki at the github page: https://github.com/rrze-likwid/likwid/wiki
If you have problems or suggestions please let me know on the likwid mailing list: http://groups.google.com/group/likwid-users
or if it is bug, add an issue at: https://github.com/rrze-likwid/likwid/issues
- If you want to use the Marker API with Java, you can find the Java module here: https://github.com/jlewandowski/likwid-java-api
- For Python you can find an interface to the LIKWID API here: https://github.com/TomTheBear/likwid-python-api
We opened a survey at the user mailing list to get a feeling who uses LIKWID and how. Moreover we would be interested if you are missing a feature or what annoys you when using LIKWID. Link to the survey: https://groups.google.com/forum/#!topic/likwid-users/F7TDho3k7ps
Likwid development was funded by BMBF Germany under the FEPA project, grant 01IH13009.